Model-Driven optimization: Generating Smart Mutation Operators for Multi-Objective Problems.
Niels van HartenCarlos Diego Nascimento DamascenoDaniel StrüberPublished in: SEAA (2022)
Keyphrases
- model driven
- mutation operator
- multi objective problems
- differential evolution
- optimization algorithm
- evolutionary algorithm
- nsga ii
- data driven
- optimization method
- optimization problems
- multi objective
- multi objective evolutionary algorithms
- multiple objectives
- evolution strategy
- service oriented
- crossover operator
- premature convergence
- particle swarm
- multi objective optimization
- genetic algorithm
- metamodel
- particle swarm optimization
- data integration
- simulated annealing
- convergence speed
- test problems
- constrained optimization
- particle swarm optimisation
- artificial neural networks
- multiobjective optimization
- fitness function
- database
- genetic programming
- evolutionary computation
- traveling salesman problem
- global optimization
- knapsack problem